Responsibilities

· Develop database solutions to store and retrieve company information

· Analyze structural requirements for new software and applications

· Migrate data from legacy systems to new solutions

· Design conceptual and logical data models and flowcharts

· Improve system performance by conducting tests, troubleshooting and integrating new elements

· Define security and backup procedures

· Coordinate with the Data Science department to identify future needs and requirements

Basic Qualifications

· Education: Bachelor’s degree in Computer Science, a related field or equivalent experience

· Proven work experience as a Data Architect, Data Scientist, Data Analyst or similar role

· In-depth understanding of database structure principles

· Awareness of data architecture strategies such as data lakes, warehouses, marts, and similar

· Experience gathering and analyzing system requirements

· Knowledge of database scaling techniques

· Expertise in SQL

· Knowledge of file storage formats (e.g. parquet, json, csv)

· Proficiency in MS Excel

· Proven analytical skills

· Problem-solving attitude

Desired Qualifications

· Experience working with ETL techniques and frameworks such as Airflow, Spark

· Familiarity with data visualization tools (e.g. Tableau, D3.js and R)

· Ability to troubleshoot ETL technologies or database scripts

· Experience with integration of data from multiple data sources

· Experience with container systems such as Docker

· Experience with NoSQL databases such as DynamoDB, MongoDB or Cassandra

· Experience working within the AWS eco-system